Pytorch implementation of Supporting Clustering with Contrastive Learning, NAACL 2021

自然语言处理领域下的相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）

Language model implementation using PyTorch.

Easy to use extractive text summarization with BERT

State-of-the-Art Text Embeddings

A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models (ACL 2022)

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

A PyTorch-based knowledge distillation toolkit for natural language processing

Reverse engineered ChatGPT API

Tensor library for machine learning

LLM inference in C/C++

Instruct-tune LLaMA on consumer hardware

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

StableLM: Stability AI Language Models

A program that provides LLMs with the ability to complete complex tasks using plugins.

🦜🔗 Build context-aware reasoning applications

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Fine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inference and support Web deplo…